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[Misc] Enhance prefix-caching benchmark tool #6568
[Misc] Enhance prefix-caching benchmark tool #6568
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- Added support for using real ShareGPT data for testing. - Introduced new parameters to duplicate prompts for more extensive testing. - Implemented benchmark support against prompts with varying input token lengths. - Added functionality to sort or shuffle data, simulating real-world traffic patterns. This update allows for more accurate and flexible performance testing on the prefix cache
👋 Hi! Thank you for contributing to the vLLM project. Once the PR is approved and ready to go, please make sure to run full CI as it is required to merge (or just use auto-merge). To run full CI, you can do one of these:
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amazing!
|
Thanks! |
Let me try to reproduce these two issues |
Please check back if you do 🙏. In the meantime, I will also try to reproduce the issue with your PR. |
@KrishnaM251 @hibukipanim I have not verified the correctness or consistency in my test yet. It's great to know you found such issue. This PR right now focusing on more real world data, especially the efficiency between different prompt size. It may not fix the correctness issue but I will definitely try to help check the problem you mentioned as I can |
@robertgshaw2-neuralmagic @simon-mo kindly ping |
Signed-off-by: Alvant <alvasian@yandex.ru>
I update the prefix-caching benchmark tool with following new features
This update allows for more accurate and flexible performance testing on the prefix cache
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